市場調查報告書
商品編碼
1268835
自動駕駛汽車/卡車市場規模、份額、趨勢分析報告:按應用(運輸、國防)、按地區(北美、歐洲、亞太地區、南美、中東和非洲)、按細分市場預測,2023-2030 年Self-driving Cars And Trucks Market Size, Share & Trends Analysis Report By Application (Transportation, Defense), By Region (North America, Europe, Asia Pacific, South America, Middle East & Africa), And Segment Forecasts, 2023 - 2030 |
根據 Grandview Research 的一份新報告,到 2030 年,全球自動駕駛汽車和卡車市場需求預計將達到 3,195,500 輛。預計將以 46.8% 的複合年增長率 (CAGR) 增長期間。
自動駕駛汽車結合了各種傳感器和網絡系統來幫助計算機駕駛車輛。 因此,谷歌公司和特斯拉汽車公司等多家技術提供商也紛紛進入市場,為自動駕駛汽車的研發貢獻力量。
例如,2023 年 3 月,美國科技公司 Google LLC 與德國豪華汽車製造商梅賽德斯-奔馳合作開發了定制化導航界面。 此次合作旨在利用谷歌的人工智能和數據能力幫助梅賽德斯-奔馳加快其可持續發展努力、推進自動駕駛並改善客戶體驗。
隨著技術的進步,汽車行業充滿活力和變化。 通用汽車公司、大眾汽車公司、梅賽德斯-奔馳和 Bayerische Motoren Werke AG (BMW) 等幾家大公司將其收入的很大一部分投資於技術研發。 隨著自動駕駛汽車在當今汽車行業變得越來越普遍,對其開發的投資也越來越大。
例如,2020 年 2 月,美國自動駕駛汽車技術公司 Pony.ai 獲得日本汽車製造商豐田汽車公司的投資,以加強和擴大雙方在出行服務方面的合作夥伴關係。融資約 4 億美元,主要用於 這項工作旨在改善 Pony.ai 的自動駕駛系統與豐田強大的車輛平台和技術的集成。
自動駕駛汽車和卡車行業根據運輸和國防應用進行細分。 此外,運輸部門分為工業和商業應用。 預計運輸部門將佔據較高的市場份額,而國防部門預計在預測期內將呈現最高增長。
在國防部門,對自動駕駛汽車的需求已被證實在增長。 此外,各種努力有望使其成為預測期內最突出的應用之一。 例如,2022 年 9 月,美國國防部國防高級研究計劃局 (DARPA) 目前正在進行試驗,以生產一種自動駕駛汽車,該汽車可以作為美國軍方可以使用的常規戰車。
到 2022 年,北美將佔據最大的市場份額。 隨著政府法規的加強和美國對自動駕駛汽車的接受程度的提高,預計在預測期內對自動駕駛汽車的需求將會增加。 政府修訂交通法規以支持公共道路上的自動駕駛是推動該地區增長的關鍵因素。 例如,美國交通監管機構國家公路交通安全管理局 (NHTSA) 已批准在多個州測試自動駕駛汽車,包括加利福尼亞州、內華達州、密歇根州、佛羅裡達州和華盛頓特區。
The global self-driving cars and trucks market demand is anticipated to reach 3,195.5 thousand units by 2030,it is expected to grow at a compound annual growth rate (CAGR) of 46.8% from 2023 to 2030, according to a new report by Grand View Research. A self-driving vehicle combines various sensors and networking systems that assist the computer in driving the vehicle. Thus, several technology providers such as Google Inc. and Tesla Motors have also entered the market and contributed to the research and development of self-driving vehicles.
For instance, In March 2023, Google LLC, a U.S.-based technology company, collaborated with Mercedes-Benz, a luxury vehicle company in Germany, to develop a customized navigation interface. This collaboration aims to use Google's AI and data functionalities to help Mercedes-Benz accelerate its sustainability efforts, advance autonomous driving, and improve the customer experience.
The automobile industry is dynamic and changes with technological advancements. Several major players, such as General Motors Company, Volkswagen AG, Mercedes-Benz, and Bayerische Motoren Werke AG (BMW), invest a significant part of their revenue in the R&D of technologies. Currently, there is a growing trend of self-driving vehicles in the automotive industry, thus attracting larger investments in the development of these vehicles.
For instance, In February 2020, Pony.ai, an autonomous vehicle technology company in the U.S., raised around $400 million, led by an investment by Toyota Motor Corporation, an automotive manufacturer in Japan, to strengthen and extend the two companies' partnership in mobility services. This initiative aims to improve Pony.ai's autonomous driving system's integration with Toyota's robust vehicle platforms and technologies.
The self-driving cars and trucks industry has been segmented based on transportation and defense applications. Furthermore, the transportation segment has been bifurcated into industrial and commercial applications. The transportation segment is expected to have a higher market share; however, the defense segment is expected to portray the highest growth over the forecast period.
The defense sector witnessed a growth in demand for autonomous vehicles. Moreover, it is expected to be one of the most prominent applications during the forecast period due to various initiatives. For instance, in September 2022, Autonomous vehicles are currently being tested by the Defense Advanced Research Projects Agency (DARPA), U.S. Department of Defense, to generate autonomous vehicles that can function as traditional combat vehicles that the American military can utilize.
North America accounted for the largest market share in 2022. The demand for self-driving vehicles is expected to increase over the forecast period in line with rising government regulations and increased acceptance of self-driving vehicles in the U.S. Government amendments to traffic regulations to support autonomous mobility on public roads are the primary factor accelerating the region's growth. For instance, the National Highway Traffic Safety Administration (NHTSA), a traffic regulation institute in the U.S., approved testing for self-driving vehicles in several states, including California, Nevada, Michigan, Florida, and Washington, D.C.